MODULE LEAD - Azure Data Factory

Job description

Data Analyst  We are seeking a detail-oriented and analytical Data Analyst with 5+ years of experience in data analysis, reporting, and business intelligence. The ideal candidate will transform raw data into actionable insights, develop reports and dashboards, and collaborate with stakeholders to support data-driven decision-making.   Key Responsibilities   - Collect, analyze, and interpret large datasets from multiple sources. - Develop and maintain SQL queries, stored procedures, and data models. - Create interactive dashboards and reports using BI tools. - Identify trends, patterns, and business opportunities through data analysis. - Work closely with business stakeholders to gather requirements and define KPIs and build interactive dashboards. - Perform data validation, cleansing, and quality checks. - Automate recurring reports/dashboards and data processes. - Present findings and recommendations to management. - Ensure data integrity, security, and compliance with organizational standards.   Technical Skills   - **Excel**: Basic and advanced spreadsheet operations, pivot tables, VLOOKUP, macros. - **SQL**: Writing queries to extract and manipulate data from relational databases (Joins and window functions). - Programming (Python/R - Basic to intermediate): Used for data wrangling, analysis, and machine learning. - **Data Visualization**: Tools like Tableau, **Power BI** and SSRS etc... for visual storytelling. - **Dynatrace**. - Hands-on experience with Dynatrace monitoring and observability platform. - Strong understanding of log analytics, alert management, problem detection, distributed tracing, and dashboard creation. - Experience analyzing application performance, infrastructure metrics, and system health indicators. - Ability to perform root cause analysis using Dynatrace data and insights.   Analytical Skills   - Data profiling and data quality analysis. - Root cause analysis. - Trend analysis and forecasting. - KPI development and Dashboard building.   Good to have: - Experience working with any cloud platforms such as: - Microsoft Azure Data Services - Amazon Web Services (AWS) - Google Cloud (GCP) - Knowledge of Azure Data Factory, Databricks.